Minimum
Ordering a data set x1 ≤ x2 ≤ x3 ≤ ≤ xn from lowest to highest value, the minimum is the smallest value x1 Maximum
Ordering a data set x1 ≤ x2 ≤ x3 ≤ ≤ xn from lowest to highest value, the maximum is the largest value xn Mean
The mean of a data set is the sum of all of the data divided by the size. The mean is also known as the average Median
Ordering a data set x1 ≤ x2 ≤ x3 ≤ ≤ xn from lowest to highest value Mode
The mode is the value or values that occur most frequently in the data set. A data set can have more than one mode, and it can also have no mode Standard Deviation
Standard deviation is a measure of dispersion of data values from the mean Variance
Variance measures dispersion of data from the mean Quartiles
Quartiles separate a data set into four sections. The median is the second quartile Q2. It divides the ordered data set into higher and lower halves. The first quartile Outliers
Potential outliers are values that lie above the Upper Fence or below the Lower Fence of the sample set Sum of Squares
The sum of squares is the sum of the squared differences between data values and the mean Percentage is calculated by
taking the frequency in the category divided by the total number of participants and multiplying by 100%. To calculate the percentage of males in Table 3, take the frequency for males (80) divided by the total number in the sample (200). Then take this number times 100%, resulting in 40%.
Quick Steps
- Click on Analyze -> Descriptive Statistics -> Frequencies
- Drag and drop the variable for which you wish to calculate the percentile (s) into the box on the right
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